13 research outputs found

    Couldn't or Wouldn't? the Influence of Privacy Concerns and Self-Efficacy in Privacy Management on Privacy Protection

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    Sampling 515 college students, this study investigates how privacy protection, including profile visibility, self-disclosure, and friending, are influenced by privacy concerns and efficacy regarding one's own ability to manage privacy settings, a factor that researchers have yet to give a great deal of attention to in the context of social networking sites (SNSs). The results of this study indicate an inconsistency in adopting strategies to protect privacy, a disconnect from limiting profile visibility and friending to self-disclosure. More specifically, privacy concerns lead SNS users to limit their profile visibility and discourage them from expanding their network. However, they do not constrain self-disclosure. Similarly, while self-efficacy in privacy management encourages SNS users to limit their profile visibility, it facilitates self-disclosure. This suggests that if users are limiting their profile visibility and constraining their friending behaviors, it does not necessarily mean they will reduce self-disclosure on SNSs because these behaviors are predicted by different factors. In addition, the study finds an interaction effect between privacy concerns and self-efficacy in privacy management on friending. It points to the potential problem of increased risk-taking behaviors resulting from high self-efficacy in privacy management and low privacy concerns.Radio-Television-Fil

    Stop Disclosing Personal Data about Your Future Self

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    Personal data is becoming more and more valuable because of new possibilities in gathering and analyzing data. Although, users integrate information systems in their most private spheres, they do not take adequate care of their privacy. In fact, they are becoming increasingly concerned about their information privacy, but act in a different way. This inconsistency in users’ behavior is known as privacy paradox. This paper takes up the psychometric measurement of future self-continuity and investigates the relationship to selected constructs of information privacy research. The results show significant correlations to the concerns users have about their privacy – an increasing future self-continuity is related with higher concerns. Thus, users should be aware of the implications their current disclosure of personal data have on their future self

    App Information Privacy Concerns

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    Due to the new technological developments and solutions a new user of information systems evolved. Smart Mobile Devices (SMD) and software in form of mobile applications (apps) diffused into the everyday life of users. The download and usage of apps became ubiquitous and by giving away personal data while using apps, individuals put their privacy at risk. Privacy concerns are generally used to measure information privacy. However, privacy is highly context dependent and needs to be adapted to the investigated environment. Therefore, the authors developed a measurement for app information privacy concerns (AIPC), based on existing literature. A data set of 269 participants was analyzed. For the AIPC three first-order dimensions (anxiety, personal attitude, and requirements) were revealed

    Privacy as a Part of the Preference Structure of Users App Buying Decision

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    Information privacy and personal data in information systems are referred to as the ‘new oil’ of the 21st century. The mass adoption of smart mobile devices, sensor-enabled smart IoT-devices, and mobile applications provide virtually endless possibilities of gathering users’ personal information. Previous research suggests that users attribute very little monetary value to their information privacy. The current paper assumes that users are not able to monetize their value of privacy due to its abstract nature and non-transparent context. By defining privacy as a crucial product attribute of mobile applications the authors provide an approach to measure the importance of privacy as part of users’ preference structure. The results of the conducted choice-based conjoint Analysis emphasize the high relevance of privacy in users’ preference structure when downloading an app and provide an interesting contribution for theory and practice

    The influence of privacy awareness and privacy self-efficacy in e-commerce

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    During the past decade, the Internet has become an essential tool for, among other things, communication, entertainment, and business. Especially notable is how it has changed the way business is conducted. Online information technology has profoundly affected markets and transactions. In line with the increasing use of online shopping, users have continued to expand their knowledge of the Internet. They have become more confident in this knowledge, and their self-initiated efforts at online privacy also appear to have matured. Users have expressed their unease about privacy when making online purchases, and it has been found that more than three-quarters of users basically agree they will not use services, products, or retailers if they feel their privacy is in danger of being violated. The present study helps to better understand the perceived benefits and concerns surrounding online purchasing. It applies self-efficacy theory to identify online privacy-related self-efficacy, and evaluate its influence on online purchasing intent. The study results show that awareness of online privacy influences the intent to use online shopping services. It was also found that experience using online services decreases users’ tendencies to use such services in the future. This study will help to better understand the perceived benefits and concerns surrounding online purchasing

    PERCEIVED RISKS AND BENEFITS OF ONLINE SELF-DISCLOSURE: AFFECTED BY CULTURE? A META-ANALYSIS OF CULTURAL DIFFERENCES AS MODERATORS OF PRIVACY CALCULUS IN PERSON-TO-CROWD SETTINGS

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    Disclosing personal information to a crowd, with all its risks and benefits, is almost ubiquitous in Web 2.0. Drawing on privacy calculus (PC) theory, we investigate whether cultural differences moderate the effect of risk and benefit assessment on online self-disclosure (OSD) in person-to-crowd settings. Empirically, our study relies on a (statistical) meta-analysis of 38 studies. Our findings support the assumptions regarding the effect of privacy calculus on OSD: benefits and trust beliefs increase OSD, privacy concerns and risk beliefs reduce it. Furthermore, the positive effect of the former PC aspects on OSD is larger than the negative effect of the latter. The effects of benefits and risk beliefs on OSD are moderated by cultural differences, unlike those of privacy concerns and trust beliefs. Uncertainty avoidance and indulgence reduce the positive effect of benefits on OSD, masculinity and power distance enhance it. The negative effect of risk beliefs is reduced by uncertainty avoidance and long-term orientation, but aggravated by indulgence. In addition to advocating increased cultural awareness for online service providers, our findings support PC as a useful concept in OSD research, but suggest that the most prominent cultural dimensions might not be the most relevant ones in intercultural OSD research

    An Experiment Series on App Information Privacy Concerns

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    The diffusion of smart mobile devices and therewith apps into everyday life comes along with the permanent disclosure of sensitive and personal data. Despite the concerns individuals have regarding their information privacy, they act oppositional. However, through the permanent disclosure of sensitive and personal information, privacy of individuals is at risk. The risk of privacy is intensified by the classification of the mobile app download and the usage decision processing as low effort processes without much deliberation. Therefore, the article follows the call of Dinev et al. (2015) to consider principles from behavioural economics and social psychology to investigate its influences on privacy decisions. This is operationalised with six independent experiments to examine the influence of cognitive biases on app information privacy concerns. The results support the underlying assumption of app decision-making as a low effort process and confirmed that different stimuli do influence privacy concerns of individuals. This research contributes to the increasing importance of understanding individ-uals’ behaviour in digital ecosystems

    A preocupação com a proteção da privacidade, uso de smartphones e comunicação online. A importância dos dados

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    Sobretudo desde a viragem do século que a privacidade conheceu novas realidades, potenciadas pela inovação característica das tecnologias emergentes. Trata-se de um fenómeno complexo, que influencia e condiciona fortemente quase todos os aspetos da vida do ser humano. A partir da versão portuguesa da escala de preocupação com a privacidade de informações nas apps, procurou-se medir a eventual relação desta variável com o envolvimento nos smartphones, a adição ao Facebook e o ceticismo em relação aos media. Através de revisão bibliográfica e de um inquérito online (N=146), os resultados sugerem a mudança de comportamentos no que respeita ao consumo de notícias e ao meio escolhido para o fazer em prol de preocupações com a privacidade, por exemplo
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